**Matrix Analysis and Algorithms**

by Andrew Stuart, Jochen Voss

**Publisher**: CaltechAUTHORS 2009**Number of pages**: 108

**Description**:

The book contains an introduction to matrix analysis, and to the basic algorithms of numerical linear algebra. Contents: Vector and Matrix Analysis; Matrix Factorisations; Stability and Conditioning; Complexity of Algorithms; Systems of Linear Equations; Iterative Methods; Least Squares Problems; Eigenvalue Problems.

Download or read it online for free here:

**Download link**

(800KB, PDF)

## Similar books

**Introduction to Bimatrices**

by

**W. B. V. Kandasamy, F. Smarandache, K. Ilanthenral**-

**arXiv**

This book introduces the concept of bimatrices, and studies several notions like bieigen values, bieigen vectors, characteristic bipolynomials, bitransformations, bioperators and bidiagonalization. The concepts of fuzzy bimatrices is introduced.

(

**9747**views)

**Determinants and Matrices**

by

**R. KochendÃ¶rfer**-

**Teubner**

Basic methods and concepts are introduced. From the table of contents: Preliminaries; Determinants; Matrices; Vector spaces. Rank of a matrix; Linear Spaces; Hermitian/Quadratic forms; More about determinants and matrices; Similarity.

(

**11510**views)

**Introduction to Matrix Algebra**

by

**Autar K Kaw**-

**University of South Florida**

This book is written primarily for students who are at freshman level or do not take a full course in Linear/Matrix Algebra, or wanting a contemporary and applied approach to Matrix Algebra. Eight chapters of the book are available for free.

(

**15770**views)

**Linear Algebra Examples C-3: The Eigenvalue Problem and Euclidean Vector Space**

by

**Leif Mejlbro**-

**BookBoon**

The book is a collection of solved problems in linear algebra, this third volume covers the eigenvalue problem and Euclidean vector space. All examples are solved, and the solutions usually consist of step-by-step instructions.

(

**10737**views)